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Canoe Platform Data / Integration EngineerJob SummaryWe are seeking an experienced Canoe Platform Data / Integration Engineer to support and enhance enterprise data integration, automation, and operational workflows for alternative investment platforms. This hands-on technical role is responsible for designing, maintaining, and optimizing integrations between investment operations platforms, data warehouses, reporting systems, and portfolio management applications. The ideal candidate has experience working with alternative investment data, API integrations, data engineering, and enterprise financial systems to ensure accurate, secure, and scalable data delivery across the organization.Key ResponsibilitiesPlatform Integration &amp; Data Engineering<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Design, build, maintain, and optimize integrations between investment platforms, data warehouses, reporting systems, accounting applications, and portfolio management solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop and support API integrations, ETL/ELT pipelines, secure file transfers, and automated data workflows.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Create scalable data pipelines that support ingestion, transformation, validation, and delivery of investment data.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Implement integration best practices to improve reliability, scalability, and operational efficiency.</li>
</ul>Alternative Investment Data Management<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Support the ingestion, validation, transformation, and delivery of alternative investment documents and data.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Process and reconcile investment information including capital calls, distributions, capital account statements, NAVs, commitments, contributions, valuations, K-1s, fund metadata, and investor records.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Maintain high standards for data quality, completeness, accuracy, and consistency across multiple systems.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Collaborate with business users to define data mappings, validation rules, and reconciliation procedures.</li>
</ul>Data Quality &amp; Production Support<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Monitor production data feeds and integration processes to identify failures, inconsistencies, and exceptions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Perform root cause analysis and coordinate issue resolution with internal teams and external vendors.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop reconciliation routines, exception reporting, and operational monitoring processes.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Support production deployments, regression testing, user acceptance testing, and change management activities.</li>
</ul>Enterprise Data &amp; Analytics<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Support enterprise data platforms by implementing secure data ingestion, transformation, governance, and consumption processes.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop SQL queries, validation scripts, reconciliation logic, and operational reports.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Contribute to data modeling, data transformation, and reporting solutions that support investment operations and business analytics.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Partner with data engineering and analytics teams to improve reporting accuracy and data accessibility.</li>
</ul>Business Collaboration<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Work closely with investment operations, portfolio management, accounting, reporting, compliance, technology, and vendor teams.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Translate business requirements into technical specifications, data mappings, and integration solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Document data flows, business rules, operating procedures, and support documentation.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Identify opportunities to automate manual processes and improve operational workflows.</li>
</ul>Qualifications<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Bachelor's degree in Computer Science, Information Systems, Information Technology, Finance, Accounting, Business Analytics, Data Analytics, or a related field.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">5+ years of experience in data engineering, platform integration, financial systems support, enterprise data operations, or investment technology.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience supporting enterprise data integrations using APIs, ETL/ELT processes, middleware, or file-based integrations.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong SQL skills, including querying, data validation, reconciliation, and performance optimization.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience troubleshooting complex data quality and integration issues.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong analytical, problem-solving, organizational, and communication skills.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Ability to manage multiple priorities in a fast-paced production environment.</li>
</ul>Preferred Qualifications<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Hands-on experience with Canoe or similar alternative investment data automation platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience integrating investment platforms with portfolio management, accounting, reporting, CRM, or enterprise data warehouse solutions.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with Snowflake, Databricks, or other cloud-based data platforms.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with Python and modern data engineering tools such as dbt, Airflow, Azure Data Factory, AWS Glue, Fivetran, or Matillion.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with portfolio accounting, investment operations, performance reporting, and client reporting.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience working within wealth management, asset management, investment management, or other financial services environments.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Knowledge of Agile methodologies, SDLC, production support, and change management processes.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with financial services regulatory requirements and data governance practices.</li>
</ul>

Canoe Platform Data / Integration Engineer

Job Summary

We are seeking an experienced Canoe Platform Data / Integration
Engineer to support and enhance enterprise data integration,
automation, and operational workflows for alternative investment
platforms. This hands-on technical role is responsible for
designing, maintaining, and optimizing integrations between
investment operations platforms, data warehouses, reporting
systems, and portfolio management applications. The ideal
candidate has experience working with alternative investment
data, API integrations, data engineering, and enterprise
financial systems to ensure accurate, secure, and scalable data
delivery across the organization.

Key Responsibilities

Platform Integration & Data Engineering

* Design, build, maintain, and optimize integrations between
investment platforms, data warehouses, reporting systems,
accounting applications, and portfolio management solutions.
* Develop and support API integrations, ETL/ELT pipelines, secure
file transfers, and automated data workflows.
* Create scalable data pipelines that support ingestion,
transformation, validation, and delivery of investment data.
* Implement integration best practices to improve reliability,
scalability, and operational efficiency.
Alternative Investment Data Management

* Support the ingestion, validation, transformation, and delivery
of alternative investment documents and data.
* Process and reconcile investment information including capital
calls, distributions, capital account statements, NAVs,
commitments, contributions, valuations, K-1s, fund metadata, and
investor records.
* Maintain high standards for data quality, completeness,
accuracy, and consistency across multiple systems.
* Collaborate with business users to define data mappings,
validation rules, and reconciliation procedures.
Data Quality & Production Support

* Monitor production data feeds and integration processes to
identify failures, inconsistencies, and exceptions.
* Perform root cause analysis and coordinate issue resolution
with internal teams and external vendors.
* Develop reconciliation routines, exception reporting, and
operational monitoring processes.
* Support production deployments, regression testing, user
acceptance testing, and change management activities.
Enterprise Data & Analytics

* Support enterprise data platforms by implementing secure data
ingestion, transformation, governance, and consumption processes.
* Develop SQL queries, validation scripts, reconciliation logic,
and operational reports.
* Contribute to data modeling, data transformation, and reporting
solutions that support investment operations and business
analytics.
* Partner with data engineering and analytics teams to improve
reporting accuracy and data accessibility.
Business Collaboration

* Work closely with investment operations, portfolio management,
accounting, reporting, compliance, technology, and vendor teams.
* Translate business requirements into technical specifications,
data mappings, and integration solutions.
* Document data flows, business rules, operating procedures, and
support documentation.
* Identify opportunities to automate manual processes and improve
operational workflows.
Qualifications

* Bachelor's degree in Computer Science, Information Systems,
Information Technology, Finance, Accounting, Business Analytics,
Data Analytics, or a related field.
* 5+ years of experience in data engineering, platform
integration, financial systems support, enterprise data
operations, or investment technology.
* Experience supporting enterprise data integrations using APIs,
ETL/ELT processes, middleware, or file-based integrations.
* Strong SQL skills, including querying, data validation,
reconciliation, and performance optimization.
* Experience troubleshooting complex data quality and integration
issues.
* Strong analytical, problem-solving, organizational, and
communication skills.
* Ability to manage multiple priorities in a fast-paced
production environment.
Preferred Qualifications

* Hands-on experience with Canoe or similar alternative
investment data automation platforms.
* Experience integrating investment platforms with portfolio
management, accounting, reporting, CRM, or enterprise data
warehouse solutions.
* Experience with Snowflake, Databricks, or other cloud-based
data platforms.
* Experience with Python and modern data engineering tools such
as dbt, Airflow, Azure Data Factory, AWS Glue, Fivetran, or
Matillion.
* Familiarity with portfolio accounting, investment operations,
performance reporting, and client reporting.
* Experience working within wealth management, asset management,
investment management, or other financial services environments.
* Knowledge of Agile methodologies, SDLC, production support, and
change management processes.
* Familiarity with financial services regulatory requirements and
data governance practices.

Canoe Platform Data/Integration Engineer

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